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Multistatic Data Matrix Mixed Eigenvector Processing for Time-Reversal Imaging
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DOI：10.1109/LGRS.2024.3514535.png)
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摘要
En 中文
In this work, a new array imaging algorithm is proposed that combines the relative advantages of two widely used subspace methods for microwave imaging: multiple signal classification (MUSIC) and time-reversal operator decomposition (DORT, under its French acronym). For the examples considered, the proposed algorithm yields a better imaging performance (in terms of resolution and selective focusing ability) than DORT and an imaging performance similar to MUSIC. At the same time, it provides a reduced computational burden of about 20% relative to that of MUSIC and only a slight increase relative to DORT.
Keyword:
Multiple signal classification
Imaging
Noise
Eigenvalues and eigenfunctions
Antenna arrays
Image resolution
Image reconstruction
Time-domain analysis
Random media
Geoscience and remote sensing
Electromagnetic scattering
selective focusing
target localization
time-reversal imaging
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
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